This package provides the Python “pyneurgen” module, which contains several

classes for implementing grammatical evolution, a form of genetic
programming, and classes for neural networks. These classes enable the
creation of hybrid models that can embody the strengths of grammatical
evolution and neural networks.

While neural networks can be adept at solving non-linear problems, some
problems remain beyond reach. For example, a difficult search space can
cause suboptimal solutions to be reached. Also, multiobjective problems
become extremely difficult, if not impossible. With genetic algorithms, a
more thorough search can be made.